Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery
نویسندگان
چکیده
منابع مشابه
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods
Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extended to enable navigator-free echo-planar imaging (EPI) ghost correction. This paper presents novel theoretical analysis which shows that, because of uniform subsampling, the structured low-rank matrix optimization probl...
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PURPOSE MR measurements from an echo-planar imaging (EPI) sequence produce Nyquist ghost artifacts that originate from inconsistencies between odd and even echoes. Several reconstruction algorithms have been proposed to reduce such artifacts, but most of these methods require either additional reference scans or multipass EPI acquisition. This article proposes a novel and accurate single-pass E...
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Parallel magnetic resonance (MR) imaging techniques use multiple receiver coils for data acquisition. Sensitivity responses of these coils usually vary in space and must be estimated via a separate calibration process. We present an algorithm for jointly estimating MR images and coil sensitivity maps from subsampled k-space measurements. We pose the joint estimation problem as the recovery of a...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2019
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2018.2876423